{
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  {
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"
    },
    "image-3.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "d66888ae",
   "metadata": {},
   "source": [
    "# 数据分析咖哥十话\n",
    "\n",
    "## 第8话 劝君更进一杯酒：推荐系统找到好物\n",
    "\n",
    "题解 本话题目“劝君更尽一杯酒”来自王维的《送元二使安西》。增长的重点不仅在于获客、激活和留存，\n",
    "也要激发老用户的复购能力。而在推荐系统的作用之下，用户会买了又买，欲罢不能。\n",
    "\n",
    "\n",
    "\n",
    "![image-2.png](attachment:image-2.png)\n",
    "\n",
    "<center>基于商品的协同过滤算法</center>\n",
    "\n",
    "**详细内容请参考拙作：《数据分析咖哥十话》** 人民邮电出版社2022年出版\n",
    "\n",
    "![image-3.png](attachment:image-3.png)\n",
    "\n",
    "购书链接：https://item.jd.com/13335199.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "de75f28f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>用户ID</th>\n",
       "      <th>游戏</th>\n",
       "      <th>行为</th>\n",
       "      <th>游戏时间</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>151603712</td>\n",
       "      <td>游戏4367</td>\n",
       "      <td>purchase</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>151603712</td>\n",
       "      <td>游戏4367</td>\n",
       "      <td>play</td>\n",
       "      <td>273.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>151603712</td>\n",
       "      <td>游戏1648</td>\n",
       "      <td>purchase</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>151603712</td>\n",
       "      <td>游戏1648</td>\n",
       "      <td>play</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>151603712</td>\n",
       "      <td>游戏4014</td>\n",
       "      <td>purchase</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199995</th>\n",
       "      <td>128470551</td>\n",
       "      <td>游戏4611</td>\n",
       "      <td>play</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199996</th>\n",
       "      <td>128470551</td>\n",
       "      <td>游戏1975</td>\n",
       "      <td>purchase</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199997</th>\n",
       "      <td>128470551</td>\n",
       "      <td>游戏1975</td>\n",
       "      <td>play</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199998</th>\n",
       "      <td>128470551</td>\n",
       "      <td>游戏3635</td>\n",
       "      <td>purchase</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199999</th>\n",
       "      <td>128470551</td>\n",
       "      <td>游戏3635</td>\n",
       "      <td>play</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200000 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             用户ID      游戏        行为   游戏时间\n",
       "0       151603712  游戏4367  purchase    1.0\n",
       "1       151603712  游戏4367      play  273.0\n",
       "2       151603712  游戏1648  purchase    1.0\n",
       "3       151603712  游戏1648      play   87.0\n",
       "4       151603712  游戏4014  purchase    1.0\n",
       "...           ...     ...       ...    ...\n",
       "199995  128470551  游戏4611      play    1.5\n",
       "199996  128470551  游戏1975  purchase    1.0\n",
       "199997  128470551  游戏1975      play    1.5\n",
       "199998  128470551  游戏3635  purchase    1.0\n",
       "199999  128470551  游戏3635      play    1.4\n",
       "\n",
       "[200000 rows x 4 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd #导入Pandas\n",
    "import numpy as np #导入Numpy\n",
    "df_games = pd.read_csv(\"游戏.csv\") #读入数据\n",
    "df_games #显示数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "02721dbd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "游戏1333    9682\n",
       "游戏4255    4646\n",
       "游戏971     2789\n",
       "游戏4820    2632\n",
       "游戏2474    1752\n",
       "          ... \n",
       "游戏55         1\n",
       "游戏571        1\n",
       "游戏4927       1\n",
       "游戏4507       1\n",
       "游戏4162       1\n",
       "Name: 游戏, Length: 5101, dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_games['游戏'].value_counts() #游戏计数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2b383ea7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62990992     1573\n",
       "33865373      949\n",
       "11403772      906\n",
       "30246419      901\n",
       "47457723      855\n",
       "             ... \n",
       "237789130       1\n",
       "236193671       1\n",
       "298020652       1\n",
       "65438630        1\n",
       "159983691       1\n",
       "Name: 用户ID, Length: 12393, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_games['用户ID'].value_counts() #玩家计数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "67ee71c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>游戏</th>\n",
       "      <th>游戏10</th>\n",
       "      <th>游戏100</th>\n",
       "      <th>游戏1000</th>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>12380 rows × 5101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "游戏         游戏10  游戏100  游戏1000  游戏1001  游戏1002  游戏1003  游戏1004  游戏1005  \\\n",
       "用户ID                                                                     \n",
       "5250        NaN    NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
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       "103360      NaN    NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "144736      NaN    NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "...         ...    ...     ...     ...     ...     ...     ...     ...   \n",
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       "309903146   NaN    NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "\n",
       "游戏         游戏1006  游戏1007  ...  游戏990  游戏991  游戏992  游戏993  游戏994  游戏995  \\\n",
       "用户ID                       ...                                             \n",
       "5250          NaN     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN   \n",
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       "...           ...     ...  ...    ...    ...    ...    ...    ...    ...   \n",
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       "309903146     NaN     NaN  ...    NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "游戏         游戏996  游戏997  游戏998  游戏999  \n",
       "用户ID                                   \n",
       "5250         NaN    NaN    NaN    NaN  \n",
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       "...          ...    ...    ...    ...  \n",
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       "\n",
       "[12380 rows x 5101 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_game_matrix = df_games.pivot_table(index='用户ID', columns='游戏',  \n",
    "                                                  values='游戏时间', aggfunc='sum')  #用pivot_table构建相关矩阵\n",
    "user_game_matrix #输出相关矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a8d4dc67",
   "metadata": {},
   "outputs": [
    {
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       "      <th>游戏997</th>\n",
       "      <th>游戏998</th>\n",
       "      <th>游戏999</th>\n",
       "    </tr>\n",
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       "</table>\n",
       "<p>12380 rows × 5101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "游戏         游戏10  游戏100  游戏1000  游戏1001  游戏1002  游戏1003  游戏1004  游戏1005  \\\n",
       "用户ID                                                                     \n",
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       "...         ...    ...     ...     ...     ...     ...     ...     ...   \n",
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       "309903146     0      0       0       0       0       0       0       0   \n",
       "\n",
       "游戏         游戏1006  游戏1007  ...  游戏990  游戏991  游戏992  游戏993  游戏994  游戏995  \\\n",
       "用户ID                       ...                                             \n",
       "5250            0       0  ...      0      0      0      0      0      0   \n",
       "76767           0       0  ...      0      0      0      0      0      0   \n",
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       "...           ...     ...  ...    ...    ...    ...    ...    ...    ...   \n",
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       "309903146       0       0  ...      0      0      0      0      0      0   \n",
       "\n",
       "游戏         游戏996  游戏997  游戏998  游戏999  \n",
       "用户ID                                   \n",
       "5250           0      0      0      0  \n",
       "76767          0      0      0      0  \n",
       "86540          0      0      0      0  \n",
       "103360         0      0      0      0  \n",
       "144736         0      0      0      0  \n",
       "...          ...    ...    ...    ...  \n",
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       "309626088      0      0      0      0  \n",
       "309812026      0      0      0      0  \n",
       "309824202      0      0      0      0  \n",
       "309903146      0      0      0      0  \n",
       "\n",
       "[12380 rows x 5101 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_game_matrix = user_game_matrix.applymap(lambda x: 1 if x > 0 else 0) #把NaN转换为0值\n",
    "user_game_matrix #显示相关矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5a0ebe72",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity #导入cosine_similarity模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5f54cefe",
   "metadata": {},
   "outputs": [
    {
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       "<p>12380 rows × 12380 columns</p>\n",
       "</div>"
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       "\n",
       "[12380 rows x 12380 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_user_sim_matrix = pd.DataFrame(cosine_similarity(user_game_matrix))  #构建用户相似度矩阵\n",
    "user_user_sim_matrix #显示用户相似度矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0f6efd0c",
   "metadata": {},
   "outputs": [
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309903146</th>\n",
       "      <td>0.218218</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062257</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12380 rows × 12380 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "用户ID       5250       76767      86540      103360     144736     181212     \\\n",
       "用户ID                                                                          \n",
       "5250        1.000000   0.400066   0.313276   0.552052   0.617213   0.755929   \n",
       "76767       0.400066   1.000000   0.239268   0.421637   0.471405   0.433013   \n",
       "86540       0.313276   0.239268   1.000000   0.279372   0.312348   0.286910   \n",
       "103360      0.552052   0.421637   0.279372   1.000000   0.894427   0.730297   \n",
       "144736      0.617213   0.471405   0.312348   0.894427   1.000000   0.816497   \n",
       "...              ...        ...        ...        ...        ...        ...   \n",
       "309554670   0.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "309626088   0.000000   0.166667   0.110432   0.000000   0.000000   0.000000   \n",
       "309812026   0.000000   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "309824202   0.218218   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "309903146   0.218218   0.000000   0.000000   0.000000   0.000000   0.000000   \n",
       "\n",
       "用户ID       229911     298950     299153     381543     ...  309262440  \\\n",
       "用户ID                                                   ...              \n",
       "5250        0.671937   0.285299   0.699854   0.552052  ...   0.125988   \n",
       "76767       0.416975   0.217900   0.400892   0.421637  ...   0.000000   \n",
       "86540       0.233778   0.226880   0.265627   0.279372  ...   0.000000   \n",
       "103360      0.608581   0.157500   0.845154   1.000000  ...   0.000000   \n",
       "144736      0.544331   0.176090   0.755929   0.894427  ...   0.000000   \n",
       "...              ...        ...        ...        ...  ...        ...   \n",
       "309554670   0.000000   0.000000   0.000000   0.000000  ...   0.000000   \n",
       "309626088   0.000000   0.062257   0.000000   0.000000  ...   0.000000   \n",
       "309812026   0.000000   0.000000   0.000000   0.000000  ...   0.000000   \n",
       "309824202   0.000000   0.062257   0.000000   0.000000  ...   0.000000   \n",
       "309903146   0.000000   0.062257   0.000000   0.000000  ...   0.000000   \n",
       "\n",
       "用户ID       309265377  309375103  309404240  309434439  309554670  309626088  \\\n",
       "用户ID                                                                          \n",
       "5250             0.0        0.0   0.097590   0.218218        0.0   0.000000   \n",
       "76767            0.0        0.0   0.000000   0.000000        0.0   0.166667   \n",
       "86540            0.0        0.0   0.000000   0.000000        0.0   0.110432   \n",
       "103360           0.0        0.0   0.000000   0.000000        0.0   0.000000   \n",
       "144736           0.0        0.0   0.000000   0.000000        0.0   0.000000   \n",
       "...              ...        ...        ...        ...        ...        ...   \n",
       "309554670        0.0        0.0   0.447214   0.000000        1.0   0.000000   \n",
       "309626088        0.0        0.0   0.000000   0.000000        0.0   1.000000   \n",
       "309812026        0.0        0.0   0.000000   0.000000        0.0   0.000000   \n",
       "309824202        0.0        0.0   0.000000   1.000000        0.0   0.000000   \n",
       "309903146        0.0        0.0   0.000000   1.000000        0.0   0.000000   \n",
       "\n",
       "用户ID       309812026  309824202  309903146  \n",
       "用户ID                                        \n",
       "5250             0.0   0.218218   0.218218  \n",
       "76767            0.0   0.000000   0.000000  \n",
       "86540            0.0   0.000000   0.000000  \n",
       "103360           0.0   0.000000   0.000000  \n",
       "144736           0.0   0.000000   0.000000  \n",
       "...              ...        ...        ...  \n",
       "309554670        0.0   0.000000   0.000000  \n",
       "309626088        0.0   0.000000   0.000000  \n",
       "309812026        1.0   0.000000   0.000000  \n",
       "309824202        0.0   1.000000   1.000000  \n",
       "309903146        0.0   1.000000   1.000000  \n",
       "\n",
       "[12380 rows x 12380 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_user_sim_matrix.columns = user_game_matrix.index #将索引（用户ID）赋给列名\n",
    "user_user_sim_matrix['用户ID'] = user_game_matrix.index #将索引（用户ID）赋给用户ID列\n",
    "user_user_sim_matrix = user_user_sim_matrix.set_index('用户ID') #设置用户ID为行名（Dataframe的索引）\n",
    "user_user_sim_matrix #显示用户相似度矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6a044394",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "用户ID\n",
       "86540        1.000000\n",
       "54637394     0.416516\n",
       "30440303     0.413350\n",
       "58931437     0.406329\n",
       "24721232     0.352329\n",
       "               ...   \n",
       "152019326    0.000000\n",
       "152082114    0.000000\n",
       "152133307    0.000000\n",
       "152133579    0.000000\n",
       "309903146    0.000000\n",
       "Name: 86540, Length: 12380, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_user_sim_matrix.loc[86540].sort_values(ascending=False) #给用户86540的相似度列表降序排列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a415558b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 130,  185,  264,  266,  268,  269,  297,  299,  301,  696,  707,\n",
       "         731,  925, 1089, 1101, 1180, 1181, 1183, 1187, 1190, 1236, 1237,\n",
       "        1238, 1530, 1598, 1623, 1838, 2241, 2242, 2280, 2283, 2284, 2415,\n",
       "        2444, 2455, 2456, 2457, 2467, 2560, 2561, 2753, 2782, 2949, 2950,\n",
       "        2951, 2952, 2954, 3021, 3022, 3023, 3024, 3025, 3026, 3027, 3031,\n",
       "        3041, 3165, 3450, 3461, 3472, 3483, 3494, 3576, 3697, 3698, 3699,\n",
       "        3701, 3869, 3979, 3980, 3982, 4029, 4048, 4122, 4188, 4284, 4287,\n",
       "        4288, 4289, 4492, 4684, 5066], dtype=int64),)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_a_list = user_game_matrix.loc[86540] # 用户86450 的游戏列表\n",
    "user_a_games = user_a_list.to_numpy().nonzero() ## 用户86450 玩过或购买过的游戏\n",
    "user_a_games # 输出数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b6d57352",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'游戏1117',\n",
       " '游戏1167',\n",
       " '游戏1239',\n",
       " '游戏1240',\n",
       " '游戏1242',\n",
       " '游戏1243',\n",
       " '游戏1269',\n",
       " '游戏1270',\n",
       " '游戏1272',\n",
       " '游戏163',\n",
       " '游戏164',\n",
       " '游戏1661',\n",
       " '游戏1838',\n",
       " '游戏199',\n",
       " '游戏200',\n",
       " '游戏2071',\n",
       " '游戏2072',\n",
       " '游戏2074',\n",
       " '游戏2078',\n",
       " '游戏2080',\n",
       " '游戏2121',\n",
       " '游戏2122',\n",
       " '游戏2123',\n",
       " '游戏2390',\n",
       " '游戏2451',\n",
       " '游戏2474',\n",
       " '游戏2670',\n",
       " '游戏3042',\n",
       " '游戏3043',\n",
       " '游戏3078',\n",
       " '游戏3080',\n",
       " '游戏3081',\n",
       " '游戏320',\n",
       " '游戏3227',\n",
       " '游戏3238',\n",
       " '游戏3239',\n",
       " '游戏324',\n",
       " '游戏325',\n",
       " '游戏3334',\n",
       " '游戏3335',\n",
       " '游戏3509',\n",
       " '游戏3535',\n",
       " '游戏3686',\n",
       " '游戏3687',\n",
       " '游戏3688',\n",
       " '游戏3689',\n",
       " '游戏3690',\n",
       " '游戏3751',\n",
       " '游戏3752',\n",
       " '游戏3753',\n",
       " '游戏3754',\n",
       " '游戏3755',\n",
       " '游戏3756',\n",
       " '游戏3757',\n",
       " '游戏3760',\n",
       " '游戏377',\n",
       " '游戏3881',\n",
       " '游戏414',\n",
       " '游戏415',\n",
       " '游戏416',\n",
       " '游戏417',\n",
       " '游戏418',\n",
       " '游戏4256',\n",
       " '游戏4367',\n",
       " '游戏4368',\n",
       " '游戏4369',\n",
       " '游戏4370',\n",
       " '游戏4522',\n",
       " '游戏4622',\n",
       " '游戏4623',\n",
       " '游戏4625',\n",
       " '游戏4668',\n",
       " '游戏4685',\n",
       " '游戏4751',\n",
       " '游戏4811',\n",
       " '游戏4899',\n",
       " '游戏4900',\n",
       " '游戏4901',\n",
       " '游戏4902',\n",
       " '游戏5086',\n",
       " '游戏620',\n",
       " '游戏968'}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_a_gameset = set(user_a_list.iloc[user_a_games].index) # 游戏名称的集合\n",
    "user_a_gameset # 输出数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "803f9f2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'游戏1031',\n",
       " '游戏1098',\n",
       " '游戏1118',\n",
       " '游戏1129',\n",
       " '游戏1130',\n",
       " '游戏1143',\n",
       " '游戏1239',\n",
       " '游戏1240',\n",
       " '游戏1242',\n",
       " '游戏1280',\n",
       " '游戏1318',\n",
       " '游戏1321',\n",
       " '游戏1333',\n",
       " '游戏1596',\n",
       " '游戏1597',\n",
       " '游戏1598',\n",
       " '游戏1599',\n",
       " '游戏1601',\n",
       " '游戏1649',\n",
       " '游戏1887',\n",
       " '游戏2022',\n",
       " '游戏2071',\n",
       " '游戏2072',\n",
       " '游戏2073',\n",
       " '游戏2074',\n",
       " '游戏2075',\n",
       " '游戏2076',\n",
       " '游戏2078',\n",
       " '游戏2079',\n",
       " '游戏2080',\n",
       " '游戏2081',\n",
       " '游戏2121',\n",
       " '游戏2122',\n",
       " '游戏2123',\n",
       " '游戏220',\n",
       " '游戏2264',\n",
       " '游戏2341',\n",
       " '游戏2391',\n",
       " '游戏2395',\n",
       " '游戏2474',\n",
       " '游戏2598',\n",
       " '游戏2610',\n",
       " '游戏2649',\n",
       " '游戏2682',\n",
       " '游戏2683',\n",
       " '游戏2684',\n",
       " '游戏2723',\n",
       " '游戏2759',\n",
       " '游戏2774',\n",
       " '游戏2790',\n",
       " '游戏2960',\n",
       " '游戏2968',\n",
       " '游戏3000',\n",
       " '游戏3001',\n",
       " '游戏3127',\n",
       " '游戏3128',\n",
       " '游戏3129',\n",
       " '游戏3131',\n",
       " '游戏3227',\n",
       " '游戏3238',\n",
       " '游戏3239',\n",
       " '游戏3334',\n",
       " '游戏3335',\n",
       " '游戏3445',\n",
       " '游戏3447',\n",
       " '游戏3459',\n",
       " '游戏3543',\n",
       " '游戏3662',\n",
       " '游戏3686',\n",
       " '游戏3687',\n",
       " '游戏3688',\n",
       " '游戏3689',\n",
       " '游戏3690',\n",
       " '游戏3724',\n",
       " '游戏3751',\n",
       " '游戏3752',\n",
       " '游戏3753',\n",
       " '游戏3754',\n",
       " '游戏3755',\n",
       " '游戏3756',\n",
       " '游戏3757',\n",
       " '游戏3760',\n",
       " '游戏3787',\n",
       " '游戏3832',\n",
       " '游戏414',\n",
       " '游戏415',\n",
       " '游戏416',\n",
       " '游戏417',\n",
       " '游戏4175',\n",
       " '游戏418',\n",
       " '游戏4180',\n",
       " '游戏4220',\n",
       " '游戏4255',\n",
       " '游戏4256',\n",
       " '游戏4278',\n",
       " '游戏4316',\n",
       " '游戏441',\n",
       " '游戏443',\n",
       " '游戏4434',\n",
       " '游戏4522',\n",
       " '游戏4528',\n",
       " '游戏4533',\n",
       " '游戏4820',\n",
       " '游戏4899',\n",
       " '游戏4900',\n",
       " '游戏4901',\n",
       " '游戏4902',\n",
       " '游戏4915',\n",
       " '游戏531',\n",
       " '游戏619',\n",
       " '游戏627',\n",
       " '游戏628',\n",
       " '游戏629',\n",
       " '游戏630',\n",
       " '游戏687',\n",
       " '游戏911',\n",
       " '游戏912',\n",
       " '游戏913',\n",
       " '游戏914',\n",
       " '游戏968',\n",
       " '游戏969',\n",
       " '游戏970',\n",
       " '游戏971',\n",
       " '游戏974'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_b_list = user_game_matrix.loc[54637394] # 用户54637394 的游戏列表\n",
    "user_b_games = user_game_matrix.loc[54637394].to_numpy().nonzero() # 用户86450 玩过或购买过的游戏\n",
    "user_b_gameset = set(user_a_list.iloc[user_b_games].index) # 游戏名称的集合\n",
    "user_b_gameset # 输出数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6390c4f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'游戏1031',\n",
       " '游戏1098',\n",
       " '游戏1118',\n",
       " '游戏1129',\n",
       " '游戏1130',\n",
       " '游戏1143',\n",
       " '游戏1280',\n",
       " '游戏1318',\n",
       " '游戏1321',\n",
       " '游戏1333',\n",
       " '游戏1596',\n",
       " '游戏1597',\n",
       " '游戏1598',\n",
       " '游戏1599',\n",
       " '游戏1601',\n",
       " '游戏1649',\n",
       " '游戏1887',\n",
       " '游戏2022',\n",
       " '游戏2073',\n",
       " '游戏2075',\n",
       " '游戏2076',\n",
       " '游戏2079',\n",
       " '游戏2081',\n",
       " '游戏220',\n",
       " '游戏2264',\n",
       " '游戏2341',\n",
       " '游戏2391',\n",
       " '游戏2395',\n",
       " '游戏2598',\n",
       " '游戏2610',\n",
       " '游戏2649',\n",
       " '游戏2682',\n",
       " '游戏2683',\n",
       " '游戏2684',\n",
       " '游戏2723',\n",
       " '游戏2759',\n",
       " '游戏2774',\n",
       " '游戏2790',\n",
       " '游戏2960',\n",
       " '游戏2968',\n",
       " '游戏3000',\n",
       " '游戏3001',\n",
       " '游戏3127',\n",
       " '游戏3128',\n",
       " '游戏3129',\n",
       " '游戏3131',\n",
       " '游戏3445',\n",
       " '游戏3447',\n",
       " '游戏3459',\n",
       " '游戏3543',\n",
       " '游戏3662',\n",
       " '游戏3724',\n",
       " '游戏3787',\n",
       " '游戏3832',\n",
       " '游戏4175',\n",
       " '游戏4180',\n",
       " '游戏4220',\n",
       " '游戏4255',\n",
       " '游戏4278',\n",
       " '游戏4316',\n",
       " '游戏441',\n",
       " '游戏443',\n",
       " '游戏4434',\n",
       " '游戏4528',\n",
       " '游戏4533',\n",
       " '游戏4820',\n",
       " '游戏4915',\n",
       " '游戏531',\n",
       " '游戏619',\n",
       " '游戏627',\n",
       " '游戏628',\n",
       " '游戏629',\n",
       " '游戏630',\n",
       " '游戏687',\n",
       " '游戏911',\n",
       " '游戏912',\n",
       " '游戏913',\n",
       " '游戏914',\n",
       " '游戏969',\n",
       " '游戏970',\n",
       " '游戏971',\n",
       " '游戏974'}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_a_recommend_games = user_b_gameset - user_a_gameset # 找到给用户86450 推荐的游戏\n",
    "user_a_recommend_games # 输出所推荐的游戏"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8d7ec803",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'游戏1117',\n",
       " '游戏1167',\n",
       " '游戏1243',\n",
       " '游戏1269',\n",
       " '游戏1270',\n",
       " '游戏1272',\n",
       " '游戏163',\n",
       " '游戏164',\n",
       " '游戏1661',\n",
       " '游戏1838',\n",
       " '游戏199',\n",
       " '游戏200',\n",
       " '游戏2390',\n",
       " '游戏2451',\n",
       " '游戏2670',\n",
       " '游戏3042',\n",
       " '游戏3043',\n",
       " '游戏3078',\n",
       " '游戏3080',\n",
       " '游戏3081',\n",
       " '游戏320',\n",
       " '游戏324',\n",
       " '游戏325',\n",
       " '游戏3509',\n",
       " '游戏3535',\n",
       " '游戏377',\n",
       " '游戏3881',\n",
       " '游戏4367',\n",
       " '游戏4368',\n",
       " '游戏4369',\n",
       " '游戏4370',\n",
       " '游戏4622',\n",
       " '游戏4623',\n",
       " '游戏4625',\n",
       " '游戏4668',\n",
       " '游戏4685',\n",
       " '游戏4751',\n",
       " '游戏4811',\n",
       " '游戏5086',\n",
       " '游戏620'}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_b_recommend_games = user_a_gameset - user_b_gameset # 找到给用户54637394 推荐的游戏\n",
    "user_b_recommend_games # 输出所推荐的游戏"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "bef62963",
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "用户ID    5250       76767      86540      103360     144736     181212     \\\n",
       "游戏                                                                         \n",
       "游戏10            0          0          0          0          0          0   \n",
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       "...           ...        ...        ...        ...        ...        ...   \n",
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       "\n",
       "用户ID    229911     298950     299153     381543     ...  309262440  309265377  \\\n",
       "游戏                                                  ...                         \n",
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       "...           ...        ...        ...        ...  ...        ...        ...   \n",
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       "\n",
       "用户ID    309375103  309404240  309434439  309554670  309626088  309812026  \\\n",
       "游戏                                                                         \n",
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       "\n",
       "用户ID    309824202  309903146  \n",
       "游戏                            \n",
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       "...           ...        ...  \n",
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       "游戏998           0          0  \n",
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       "\n",
       "[5101 rows x 12380 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "game_user_matrix = user_game_matrix.T #求转置矩阵\n",
    "game_user_matrix #输出矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0ba3ad07",
   "metadata": {},
   "outputs": [
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       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.205196</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.288675</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>5096</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>5097</th>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.094491</td>\n",
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       "      <td>1.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>5098</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>5099</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>5100</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.146254</td>\n",
       "      <td>0.150756</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028490</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5101 rows × 5101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      0     1         2         3     4     5     6         7         8     \\\n",
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       "5100   0.0   0.0  0.000000  0.000000   0.0   0.0   0.0  0.146254  0.150756   \n",
       "\n",
       "          9     ...      5091  5092     5093      5094      5095  5096  \\\n",
       "0     0.288675  ...  0.000000   0.0  0.00000  0.066227  0.054554   0.0   \n",
       "1     0.000000  ...  0.000000   0.0  0.57735  0.000000  0.188982   0.0   \n",
       "2     0.000000  ...  0.000000   0.0  0.00000  0.114708  0.000000   0.0   \n",
       "3     0.000000  ...  0.000000   0.0  0.00000  0.205196  0.084515   0.0   \n",
       "4     0.000000  ...  0.288675   0.0  0.00000  0.000000  0.000000   0.0   \n",
       "...        ...  ...       ...   ...      ...       ...       ...   ...   \n",
       "5096  0.000000  ...  0.000000   0.0  0.00000  0.000000  0.000000   1.0   \n",
       "5097  0.000000  ...  0.000000   0.0  0.00000  0.000000  0.094491   0.0   \n",
       "5098  0.000000  ...  0.000000   0.0  0.00000  0.000000  0.000000   0.0   \n",
       "5099  0.000000  ...  0.000000   0.0  0.00000  0.000000  0.000000   0.0   \n",
       "5100  0.000000  ...  0.000000   0.0  0.00000  0.000000  0.028490   0.0   \n",
       "\n",
       "          5097  5098  5099  5100  \n",
       "0     0.000000   0.0   0.0   0.0  \n",
       "1     0.000000   0.0   0.0   0.0  \n",
       "2     0.000000   0.0   0.0   0.0  \n",
       "3     0.223607   0.0   0.0   0.0  \n",
       "4     0.000000   0.0   0.0   0.0  \n",
       "...        ...   ...   ...   ...  \n",
       "5096  0.000000   0.0   0.0   0.0  \n",
       "5097  1.000000   0.0   0.0   0.0  \n",
       "5098  0.000000   1.0   0.0   0.0  \n",
       "5099  0.000000   0.0   1.0   0.0  \n",
       "5100  0.000000   0.0   0.0   1.0  \n",
       "\n",
       "[5101 rows x 5101 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item_item_sim_matrix = pd.DataFrame(cosine_similarity(game_user_matrix)) #构建游戏相似度矩阵\n",
    "item_item_sim_matrix #输出矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f13b0055",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>游戏</th>\n",
       "      <th>游戏10</th>\n",
       "      <th>游戏100</th>\n",
       "      <th>游戏1000</th>\n",
       "      <th>游戏1001</th>\n",
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       "      <th>游戏10</th>\n",
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       "      <td>0.188982</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>游戏1000</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>游戏1001</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.223607</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.223607</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 5101 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "游戏      游戏10  游戏100    游戏1000    游戏1001  游戏1002  游戏1003  游戏1004  游戏1005  \\\n",
       "游戏                                                                        \n",
       "游戏10     1.0    0.0  0.000000  0.000000     0.0     0.0     0.0     0.0   \n",
       "游戏100    0.0    1.0  0.000000  0.000000     0.0     0.0     0.0     0.0   \n",
       "游戏1000   0.0    0.0  1.000000  0.223607     0.0     0.0     0.0     0.0   \n",
       "游戏1001   0.0    0.0  0.223607  1.000000     0.0     0.0     0.0     0.0   \n",
       "游戏1002   0.0    0.0  0.000000  0.000000     1.0     0.0     0.0     0.0   \n",
       "\n",
       "游戏      游戏1006    游戏1007  ...     游戏990  游戏991    游戏992     游戏993     游戏994  \\\n",
       "游戏                        ...                                                 \n",
       "游戏10       0.0  0.288675  ...  0.000000    0.0  0.00000  0.066227  0.054554   \n",
       "游戏100      0.0  0.000000  ...  0.000000    0.0  0.57735  0.000000  0.188982   \n",
       "游戏1000     0.0  0.000000  ...  0.000000    0.0  0.00000  0.114708  0.000000   \n",
       "游戏1001     0.0  0.000000  ...  0.000000    0.0  0.00000  0.205196  0.084515   \n",
       "游戏1002     0.0  0.000000  ...  0.288675    0.0  0.00000  0.000000  0.000000   \n",
       "\n",
       "游戏      游戏995     游戏996  游戏997  游戏998  游戏999  \n",
       "游戏                                            \n",
       "游戏10      0.0  0.000000    0.0    0.0    0.0  \n",
       "游戏100     0.0  0.000000    0.0    0.0    0.0  \n",
       "游戏1000    0.0  0.000000    0.0    0.0    0.0  \n",
       "游戏1001    0.0  0.223607    0.0    0.0    0.0  \n",
       "游戏1002    0.0  0.000000    0.0    0.0    0.0  \n",
       "\n",
       "[5 rows x 5101 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item_item_sim_matrix.columns = user_game_matrix.T.index #将索引（游戏名）赋给列名\n",
    "item_item_sim_matrix['游戏'] = user_game_matrix.T.index #将索引（游戏名）赋给用户ID列\n",
    "item_item_sim_matrix = item_item_sim_matrix.set_index('游戏') #设置游戏名为行名（Dataframe的索引）\n",
    "item_item_sim_matrix.head() #显示游戏相似度矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a352427e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "游戏\n",
       "游戏163     1.000000\n",
       "游戏164     0.695121\n",
       "游戏165     0.377755\n",
       "游戏168     0.280223\n",
       "游戏917     0.261968\n",
       "            ...   \n",
       "游戏3121    0.000000\n",
       "游戏313     0.000000\n",
       "游戏3140    0.000000\n",
       "游戏3143    0.000000\n",
       "游戏3325    0.000000\n",
       "Name: 游戏163, Length: 5101, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similar_game_a_recommend_games = item_item_sim_matrix.loc['游戏163'].sort_values(ascending=False)  #给某游戏的相似度列表降序排序\n",
    "similar_game_a_recommend_games #显示列表"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4b8b550",
   "metadata": {},
   "source": [
    "**就到这里！下面请大家自行设计出更棒的推荐系统**\n",
    "\n",
    "推荐系统解决的两个核心问题：一是在信息过载的环境中，帮助用户获得自己需要的信息；\n",
    "二是通过好的推荐增强用户的黏性并提高用户的消费频率，从而驱动增长。\n",
    "因此推荐系统的核心价值在于精而准。\n",
    "在这一话中，我们主要使用了相似度矩阵这一工具，生成了基于用户相似度和基于游戏相似\n",
    "度的两个游戏推荐列表。\n",
    "在优秀推荐系统的实现过程中还有很多的细节，如数据的实时提取和特征工程、召回层和排\n",
    "序层的设计、推荐系统模型和算法的选择等。这些内容超出了本书所涵盖的范围。\n",
    "不过，无论是简单还是复杂的推荐系统，其核心思路都是基于人或物的内在相关性为用户推\n",
    "荐其需要的内容。拥有的内容（或商品）和用户越多，就越需要深入挖掘内容之间、用户之间，\n",
    "以及内容和用户之间的相关性。"
   ]
  }
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